MOKPE: drug-target interaction prediction via manifold optimization based kernel preserving embedding.
Oguz C. BinatliMehmet GönenPublished in: BMC Bioinform. (2023)
Keyphrases
- laplacian eigenmaps
- graph embedding
- prediction accuracy
- nonlinear dimensionality reduction
- manifold learning
- embedding space
- manifold embedding
- human computer interaction
- feature space
- high dimensional
- optimization algorithm
- prediction model
- kernel machines
- riemannian manifolds
- prediction error
- optimization problems
- input space
- low dimensional
- euclidean space
- discriminant analysis
- vector space
- prediction algorithm
- user interaction
- least squares support vector machine
- kernel pca
- kernel methods
- protein interaction
- latent space
- support vector
- dimensionality reduction
- parameter optimization
- geodesic distance
- neural network